Learn the basics of data manipulation and visualization in R – the world’s most popular language for statistical computing – even if you do not have prior programming experience.
Data analysis is essential for discovering trends and correlations and making informed decisions. The R programming language and software environment offer a free and ever-growing data analysis and visualization resource collection. Nowadays, R is used in governmental organizations, academia, and industry (that is, everywhere) for everything from sales forecasting and evaluating the impact of a marketing campaign to studying new health treatments.
The course provides hands-on experience for learning R language basics and engages students in programming in this open-source language for statistical computing. This course is for all new R users and does not require prior programming experience. You will learn the foundations – how to install R and load data into it – and continue with data manipulation, visualization, and implementation of standard statistical functions. By the end of the course, you will be able to find relevant R resources (packages), read R code, and write your code to visualize and analyze your data.
- Unit 1: Introduction to R and RStudio
- Unit 2: Basic Object Types and Operations in R
- Unit 3: Data Import and Export
- Unit 4: Data Visualization
- Unit 5: Common Statistical Functions
- Install and update R, R packages, and the RStudio interface on your computer;
- Operate with common types of R objects;
- Import and export data for analysis;
- Visualize data using R; and
- Work with common statistical functions.